Multistrategy learning systems are systems that employ multiple methods to solve learning problems. In many multistrategy systems, either the user or the system selects a single method to use on the current problem. At best, such a selection-type multistrategy learning system can solve the union of the problems solvable by the individual learning methods it contains. Another strategy is to have the user specify a sequence of methods to apply to a particular problem at compile time. Both of these strategies fails to tap the full potential of the learning methods under their control.

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